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Index
Foreword
Preface
Acknowledgments
CHAPTER 1 Improvement of Quality
1.1 Introduction
1.2 Building Knowledge and the Scientific Method
1.3 Defining Quality
1.4 Model for Improvement
1.5 Sequential Experimentation Using the PDSA Cycle
1.6 Summary
References
Exercises
CHAPTER 2 Principles for Design and Analysis of Planned Experiments
2.1 Introduction and Definitions
2.2 Types of Planned Experiments
2.3 Principles for Designing Analytic Studies
2.4 Tools for Experimentation
2.5 Form for Documentation of a Planned Experiment
2.6 Analysis of Data from Analytic Studies
2.7 Summary
References
Exercises
CHAPTER 3 Experiments with One Factor
3.1 General Approach to One-Factor Experiments
3.2 Using Run Charts for a One-Factor Design
3.3 Using Shewhart Charts for One-Factor Experiments
3.4 Paired-Comparison Experiments
3.5 Randomized Block Designs
3.6 Incomplete Block Designs
3.7 Summary
References
Exercises
CHAPTER 4 Experiments with More Than One Factor
4.1 Introduction to Factorial Designs
4.2 Design of Factorial Experiments
4.3 Advanced Topics in the Analysis of Factorial Experiments
4.4 Summary
References
Exercises
CHAPTER 5 Reducing the Size of Experiments
5.1 Introduction to Fractional Factorial Designs
5.2 Fractional Factorial Designs—Moderate Current Knowledge
5.3 Fractional Factorial Designs—Low Current Knowledge
5.4 Using Blocking to Design a Sequence of Experiments
5.5 Summary
Appendix: Development of Other Blocking Arrangements
References
Exercises
CHAPTER 6 Evaluating Sources of Variation
6.1 Applications of Nested Designs
6.2 Planning and Analyzing an Experiment with Nested Factors
6.3 More Complex Nested Designs
6.4 Summary
Appendix 6A: Calculation of Variance Components
Appendix 6B: Calculating and Combining Statistics (X, S, or R)
References
Exercises
CHAPTER 7 Sequential Experimentation—A Case Study
7.1 Improving a Milling Process—Getting Started
7.2 The First Improvement Cycle: Current Performance of the Mills
7.3 The Second PDSA Cycle: Sources of Variation
7.4 The Third PDSA Cycle: Evaluating Mill Cutter Vendors
7.5 The Fourth PDSA Cycle: Screening Process Variables
7.6 The Fifth PDSA Cycle: Evaluate Effect of Improvements on the Mill Process
7.7 The Sixth PDSA Cycle: Evaluating Important Factors
7.8 The Seventh PDSA Cycle: Determining Optimum Levels
7.9 The Eighth PDSA Cycle: Confirmation of Improvements
7.10 Final Actions of the Mill Improvement Team
Exercises
CHAPTER 8 Using a Time Series Response Variable
8.1 Incorporating Experimental Patterns in a Time Series
8.2 Shewhart Charts
8.3 Designs for Sequential Experimentation Using Time Series Response Variables
8.4 Summary
References
Exercises
CHAPTER 9 Experiments with Factors at More Than Two Levels
9.1 Factorial Designs with More Than Two Levels
9.2 Augmenting 2k Factorial Designs with Center Points
9.3 Three-Level Designs for Quantitative Factors
9.4 Experiments for Formulations or Mixtures
9.5 Experimental Designs for Complex Systems
9.6 Summary
References
Exercises
CHAPTER 10 Applications in Health Care
10.1 Introduction
10.2 Applications
10.3 Summary
References
Exercises
CHAPTER 11 New Product Design
11.1 Introduction
11.2 Phase 0: Generate Ideas
11.3 Phase 1: Develop Concepts and Define Product
11.4 Phase 2: Test
11.5 Phase 3: Produce Product
11.6 Summary
References
Exercises
APPENDIX A Evaluating Measurement Systems
Glossary
Index
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